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Decision-making for the anomalies in IIoTs based on 1D convolutional neural networks and Dempster–Shafer theory (DS-1DCNN)

Tuğrul Çavdar, Nader Ebrahimpour, Muhammet Talha Kakız, Faruk Baturalp Günay

2022The Journal of Supercomputing23 citationsDOI

Topics & Concepts

Computer scienceBig dataArtificial intelligenceConvolutional neural networkProcess (computing)Dempster–Shafer theoryAnomaly detectionSensor fusionMachine learningRealization (probability)Data miningOperating systemMathematicsStatisticsAnomaly Detection Techniques and ApplicationsFault Detection and Control SystemsAdvanced Chemical Sensor Technologies
Decision-making for the anomalies in IIoTs based on 1D convolutional neural networks and Dempster–Shafer theory (DS-1DCNN) | Litcius